Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Blinding01:11

Blinding

2.3K
Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
2.3K
Censoring Survival Data01:09

Censoring Survival Data

55
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
55
Deindividuation00:57

Deindividuation

26.1K
Deindividuation is a form of social influence on an individual’s behavior such that the individual engages in unusual or non-normal behavior while in a group setting. Why? Because in these group settings, the individual no longer sees themselves as an individual anymore, disinhibiting their behavior and personal restraint.
26.1K
Randomized Experiments01:13

Randomized Experiments

6.7K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
6.7K
Modified Boxplots00:57

Modified Boxplots

9.1K
A standard box and whisker plot informs us about the spread of the data in a given sample. One can identify the minimum value, maximum value, first quartile value, second quartile or median value, and third quartile.
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...
9.1K
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

68
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
68

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Embryonic arrest at midgestation and disruption of Notch signaling produced by the absence of both epsin 1 and epsin 2 in mice.

Proceedings of the National Academy of Sciences of the United States of America·2009
Same author

Two novel SNPs in coding region of the caprine Fat-inducing transcript gene and their association with growth traits.

Molecular biology reports·2009
Same author

Reprogramming human fibroblasts using HIV-1 TAT recombinant proteins OCT4, SOX2, KLF4 and c-MYC.

Molecular biology reports·2009
Same author

Bioinformatics and microarray analysis of microRNA expression profiles of murine embryonic stem cells, neural stem cells induced from ESCs and isolated from E8.5 mouse neural tube.

Neurological research·2009
Same author

Attenuation of lipopolysaccharide-mediated left ventricular dysfunction by glutamine preconditioning.

The Journal of surgical research·2009
Same author

Differential regulation of Apak by various DNA damage signals.

Molecular and cellular biochemistry·2009
Same journal

Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2026
Same journal

MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2026
Same journal

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2025
Same journal

Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2025
Same journal

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2025
Same journal

HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2025
查看所有相关文章

相关实验视频

Updated: May 23, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.1K

增强的隐私限制为Shuffle模型与个性化的隐私

Yixuan Liu1, Yuhan Liu1, Li Xiong2

  • 1Renmin University of China, Beijing, China.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management
|May 22, 2025
PubMed
概括
此摘要是机器生成的。

这项研究通过改进个性化隐私设置的混合模型来增强差异隐私 (DP). 我们精确的分析提供了更严格的隐私限制,超过了匿名随机数据的现有方法.

关键词:
不同的隐私差异性隐私.个性化的隐私 个性化的隐私混动模型 混动模型

更多相关视频

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

474
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

14.8K

相关实验视频

Last Updated: May 23, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.1K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

474
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

14.8K

科学领域:

  • 计算机科学 计算机科学
  • 信息安全 信息安全
  • 密码学 密码学 密码学 密码学

背景情况:

  • 混合模型通过匿名化和混合本地数据来增强差异性隐私 (DP).
  • 在混合模型中推导出严格的隐私界限是具有挑战性的,特别是在个性化的隐私设置中.
  • 现有的方法往往不准确地捕捉到克隆生成的概率或低估了不可区分性.

研究的目的:

  • 开发一个更精确的分析,在混合模型中限制隐私.
  • 解决个性化隐私设置的实际挑战.
  • 为任意的DP机制提供一般和更严格的隐私限制.

主要方法:

  • 使用假设测试来准确表征的克隆生成概率.
  • 在epsilon-DP的背景下分析了不可区分性,利用分布凸度.
  • 为差异隐私的混合模型开发了一种新的分析.

主要成果:

  • 实现了更准确的克隆生成概率的表征.
  • 通过利用epsilon-DP中的分布凸度获得了更紧密的隐私约束.
  • 通过理论和数值结果,证明了拟议的边界在现有文献中的优越性能.

结论:

  • 开发的分析为混合模型提供了一般和更严格的隐私限制.
  • 这些发现为个人设置中的隐私保护数据分析提供了显著的改进.
  • 该研究促进了在复杂场景中对差异性隐私的理解和应用.